Abstract: Provided is a system of retrieving a document. The system includes a DB storing a document, a document feature writing unit, a query input unit, a keyword extraction unit, a weighting unit, a document retrieving unit, and an output unit. The document feature writing unit extracts attribute information of the document stored in the document DB and writes an index for the document based on the attribute information. The query input unit receives a query input by a user. The keyword extraction unit extracts a keyword from the query. The weighting unit assigns a weight to the extracted keyword using the index. The document retrieving unit retrieves a similar document using the keyword with the assigned weight. The output unit displays the similar document retrieved by the document retrieving unit to a user.

Abstract: Provided are a document management system and method. The document management system including a database storing documents and a document classification unit for automatically classifying the documents stored in the database, wherein the document classification unit comprises a feature extraction module extracting features based on a keyword included in the documents and vectorizing the extracted features, a similarity judgment module judging similarity among the documents using vectors formed by the feature extraction module, and a classification system module classifying the documents stored in the database according to a preset classification system, the document classification unit performing document classification according to the classification system with respect to documents provided to the database.

Abstract: A document analysis system includes a database that stores documents, a document evaluation module that evaluates the documents by using features of the documents, and a user interface (UI) output unit that provides an evaluation result of the documents, which is produced by the document evaluation module, upon call of the documents.

Abstract: Provided are a system and method of clustering documents. The system includes a document DB, a document feature writing unit storing documents, a document retrieving unit, a clustering unit, and a cluster DB. The document DB stores documents. The document feature writing unit extracts attribute information of documents stored in the document database, and writes indexes with respect to the respective documents on the basis of the attribute information. The document retrieving unit retrieves documents including a query input by a user, using the indexes. The clustering unit includes a representative vector calculator calculating feature vectors and a representative vector of the retrieved documents, and a similarity calculator calculating similarities between the documents using the feature vectors and the representative vector. The cluster database stores documents clustered by the clustering unit.

Abstract: Provided are a system and method of clustering documents. The system includes a document DB, a document feature writing unit storing documents, a document retrieving unit, a clustering unit, and a cluster DB. The document DB stores documents. The document feature writing unit extracts attribute information of documents stored in the document database, and writes indexes with respect to the respective documents on the basis of the attribute information. The document retrieving unit retrieves documents including a query input by a user, using the indexes. The clustering unit includes a representative vector calculator calculating feature vectors and a representative vector of the retrieved documents, and a similarity calculator calculating similarities between the documents using the feature vectors and the representative vector. The cluster database stores documents clustered by the clustering unit.

Abstract: Provided is a system of retrieving a document. The system includes a DB storing a document, a document feature writing unit, a query input unit, a keyword extraction unit, a weighting unit, a document retrieving unit, and an output unit. The document feature writing unit extracts attribute information of the document stored in the document DB and writes an index for the document based on the attribute information. The query input unit receives a query input by a user. The keyword extraction unit extracts a keyword from the query. The weighting unit assigns a weight to the extracted keyword using the index. The document retrieving unit retrieves a similar document using the keyword with the assigned weight. The output unit displays the similar document retrieved by the document retrieving unit to a user.

Abstract: Provided are a document management system and method. The document management system including a database storing documents and a document classification unit for automatically classifying the documents stored in the database, wherein the document classification unit comprises a feature extraction module extracting features based on a keyword included in the documents and vectorizing the extracted features, a similarity judgment module judging similarity among the documents using vectors formed by the feature extraction module, and a classification system module classifying the documents stored in the database according to a preset classification system, the document classification unit performing document classification according to the classification system with respect to documents provided to the database.